docs: def _recurse_on_row(self, col_dict, nested_value):
          """Apply the schema specified by the given dict to the nested value by
          recursing on it.
  
          Parameters
          ----------
          col_dict : dict
              The schema to apply to the nested value.
          nested_value : A value nested in a BigQuery row.
  
          Returns
          -------
          Union[dict, list]
              ``dict`` or ``list`` of ``dict`` objects from applied schema.
          """
  
          row_value = None
  
          # Multiple nested records
          if col_dict['mode'] == 'REPEATED' and isinstance(nested_value, list):
              row_value = [self._transform_row(record['v'], col_dict['fields'])
                           for record in nested_value]
  
          # A single nested record
          else:
              row_value = self._transform_row(nested_value, col_dict['fields'])
  
          return row_value